VChart, How to monitor the change of DataZoom?

const rootElement = document.getElementById(“root“);
const root = createRoot(rootElement);

import VChart from “@visactor/vchart“;

const App = () => {
useEffect(() => {
const spec = {
type: “scatter“,
xField: “revenues_mm“,
yField: “profit_mm“,
seriesField: “category“,
dataZoom: [
{
orient: “bottom“,
start: 0,
end: 0.4,
minSpan: 0.2,
maxSpan: 0.8,
filterMode: “axis“,
},
],
axes: [
{
title: {
visible: true,
text: “revenues_mm“,
},
orient: “left“,
type: “linear“,
},
{
title: {
visible: true,
text: “profit_mm“,
},
orient: “bottom“,
label: { visible: true },
type: “linear“,
},
],
legends: [{}],
data: [
{
id: “data“,
values: [
{
company: “Johnson & Johnson“,
revenues_mm: 71890,
profit_mm: 18540,
profit_as_of_revenues: 0.2578940047294478,
category: “Pharmaceuticals“,
},
{
company: “Procter & Gamble“,
revenues_mm: 71726,
profit_mm: 10508,
profit_as_of_revenues: 0.14650196581434904,
category: “Household & Personal Products“,
},
{
company: “Abbvie“,
revenues_mm: 25638,
profit_mm: 5953,
profit_as_of_revenues: 0.23219439893907481,
category: “Pharmaceuticals“,
},
{
company: “Amgen“,
revenues_mm: 22991,
profit_mm: 7722,
profit_as_of_revenues: 0.33587055804445215,
category: “Pharmaceuticals“,
},
{
company: “Eli Lilly“,
revenues_mm: 21222,
profit_mm: 2738,
profit_as_of_revenues: 0.12901705777023842,
category: “Pharmaceuticals“,
},
{
company: “Bristol-Myers Squibb“,
revenues_mm: 19427,
profit_mm: 4457,
profit_as_of_revenues: 0.22942296803417925,
category: “Pharmaceuticals“,
},
{
company: “Altria Group“,
revenues_mm: 19337,
profit_mm: 14239,
profit_as_of_revenues: 0.7363603454517247,
category: “Tobacco“,
},
{
company: “Kimberly-Clark“,
revenues_mm: 18202,
profit_mm: 2166,
profit_as_of_revenues: 0.11899791231732777,
category: “Household & Personal Products“,
},
{
company: “General Mills“,
revenues_mm: 16563,
profit_mm: 1697,
profit_as_of_revenues: 0.10245728430839823,
category: “Food“,
},
{
company: “Colgate-Palmolive“,
revenues_mm: 15195,
profit_mm: 2441,
profit_as_of_revenues: 0.16064494899638038,
category: “Household & Personal Products“,
},
{
company: “Conagra Brands“,
revenues_mm: 14134,
profit_mm: –677,
profit_as_of_revenues: –0.04789868402433847,
category: “Food“,
},
{
company: “Land O’Lakes“,
revenues_mm: 13233,
profit_mm: 245,
profit_as_of_revenues: 0.01851432025995617,
category: “Food“,
},
{
company: “Pepsico“,
revenues_mm: 62789,
profit_mm: 6329,
profit_as_of_revenues: 0.1007979104620236,
category: “Food“,
},
{
company: “Kellogg“,
revenues_mm: 13014,
profit_mm: 694,
profit_as_of_revenues: 0.053327186107269095,
category: “Food“,
},
{
company: “Reynolds American“,
revenues_mm: 12503,
profit_mm: 6073,
profit_as_of_revenues: 0.48572342637766935,
category: “Tobacco“,
},
{
company: “Biogen“,
revenues_mm: 11449,
profit_mm: 3703,
profit_as_of_revenues: 0.32343436107957024,
category: “Pharmaceuticals“,
},
{
company: “Estee Lauder“,
revenues_mm: 11262,
profit_mm: 1115,
profit_as_of_revenues: 0.09900550523885633,
category: “Household & Personal Products“,
},
{
company: “Celgene“,
revenues_mm: 11229,
profit_mm: 1999,
profit_as_of_revenues: 0.17802119511977915,
category: “Pharmaceuticals“,
},
{
company: “Hormel Foods“,
revenues_mm: 9523,
profit_mm: 890,
profit_as_of_revenues: 0.09345794392523364,
category: “Food“,
},
{
company: “Campbell Soup“,
revenues_mm: 7961,
profit_mm: 563,
profit_as_of_revenues: 0.07071975882426831,
category: “Food“,
},
{
company: “J. M. Smucker“,
revenues_mm: 7811,
profit_mm: 689,
profit_as_of_revenues: 0.08820893611573422,
category: “Food“,
},
{
company: “Dean Foods“,
revenues_mm: 7710,
profit_mm: 120,
profit_as_of_revenues: 0.01556420233463035,
category: “Food“,
},
{
company: “Hershey“,
revenues_mm: 7440,
profit_mm: 720,
profit_as_of_revenues: 0.0967741935483871,
category: “Food“,
},
{
company: “Pfizer“,
revenues_mm: 52824,
profit_mm: 7215,
profit_as_of_revenues: 0.13658564288959563,
category: “Pharmaceuticals“,
},
{
company: “Constellation Brands“,
revenues_mm: 6548,
profit_mm: 1055,
profit_as_of_revenues: 0.16111789859499084,
category: “Beverages“,
},
{
company: “Dr. Pepper Snapple Group“,
revenues_mm: 6440,
profit_mm: 847,
profit_as_of_revenues: 0.13152173913043477,
category: “Beverages“,
},
{
company: “HRG Group“,
revenues_mm: 6403,
profit_mm: –199,
profit_as_of_revenues: –0.031079181633609246,
category: “Household & Personal Products“,
},
{
company: “Treehouse Foods“,
revenues_mm: 6175,
profit_mm: –229,
profit_as_of_revenues: –0.03708502024291498,
category: “Food“,
},
{
company: “Avon Products“,
revenues_mm: 5853,
profit_mm: –108,
profit_as_of_revenues: –0.018452075858534086,
category: “Household & Personal Products“,
},
{
company: “Clorox“,
revenues_mm: 5761,
profit_mm: 648,
profit_as_of_revenues: 0.11248047214025343,
category: “Household & Personal Products“,
},
{
company: “Coca-Cola“,
revenues_mm: 41863,
profit_mm: 6527,
profit_as_of_revenues: 0.15591333635907603,
category: “Beverages“,
},
{
company: “Merck“,
revenues_mm: 39807,
profit_mm: 3920,
profit_as_of_revenues: 0.09847514256286583,
category: “Pharmaceuticals“,
},
{
company: “Gilead Sciences“,
revenues_mm: 30390,
profit_mm: 13501,
profit_as_of_revenues: 0.4442579795985522,
category: “Pharmaceuticals“,
},
{
company: “Philip Morris International“,
revenues_mm: 26685,
profit_mm: 6967,
profit_as_of_revenues: 0.2610830054337643,
category: “Tobacco“,
},
{
company: “Kraft Heinz“,
revenues_mm: 26487,
profit_mm: 3632,
profit_as_of_revenues: 0.1371238720881942,
category: “Food“,
},
{
company: “Mondelez International“,
revenues_mm: 25923,
profit_mm: 1659,
profit_as_of_revenues: 0.06399722254368707,
category: “Food“,
},
],
},
],
};
const vchart = new VChart(spec, { dom: “chart“ });
vchart.renderSync();

vchart.on(“dataZoomChange“, (params) => {
const { value } = params;
console.log(“changed value:“, value.start, value.end);
});

return () => {
vchart.release();
};
}, []);

return <div id=“chart“></div>;
};

root.render(
<StrictMode>
<App />
</StrictMode>
);